Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers
Summary: Pattern-based table answers for keyword queries over a knowledge graph; patterns are subtrees that cover all keywords with fixed types, yielding table-like multi-entity results. Introduces path-based indexes and two processors—fast practical for small queries and linear-time theory-driven for large ones—plus hardness results and experimental comparisons. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mohan Yang (University of California Los Angeles)
- 2. Bolin Ding (Microsoft)
- 3. Surajit Chaudhuri (Microsoft)
- 4. Kaushik Chakrabarti (Microsoft)
BibTeX Citation
@article{yang_vldb14,
title = {{Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers}},
author = {Yang, Mohan and Ding, Bolin and Chaudhuri, Surajit and Chakrabarti, Kaushik},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {14},
pages = {1809--1820},
doi = {10.14778/2733004.2733020},
url = {https://doi.org/10.14778/2733004.2733020},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,131 | Applying WebTables in Practice | 2015 | CIDR | 5.4816838e-05 |
| 8,201 | List Intersection for Web Search: Algorithms, Cost Models, and Optimizations | 2019 | VLDB | 5.467444e-05 |
| 9,268 | Knowledge Exploration Using Tables on the Web | 2017 | VLDB | 5.295208e-05 |
| 11,927 | Deeper: A Data Enrichment System Powered by Deep Web | 2018 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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